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ORCIDGe Yu 0001
于戈
Person information
- unicode name: 于戈
- affiliation: Northeastern University, School of Information Science and Engineering, Shenyang, China
- affiliation (PhD 1996): Kyushu University, Japan
Other persons with the same name
- Ge Yu — disambiguation page
- Ge Yu 0002 — China Academy of Railway Science, Beijing
- Ge Yu 0003 — Tianjin University, State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin, China
- Ge Yu 0004 — Hangzhou Normal University, Hangzhou, China
- Ge Yu 0005
![[0000-0002-6814-3177]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6814-3177")
— Peking University, Collage of Engineering, Department of Industrial Engineering and Management, Beijing, China - Ge Yu 0006 — Amazon, Cambridge, MA, USA (and 1 more)
- Ge Yu 0007 — Harbin Engineering University, Acoustic Science and Technology Laboratory, College of Underwater Acoustic Engineering, China
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2020 – today
- 2024
[j196]Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu:
A probabilistic generative model for tracking multi-knowledge concept mastery probability. Frontiers Comput. Sci. 18(3): 183602 (2024)- [j195]Ning Wang, Yifei Liu, Zhigang Wang, Zhiqiang Wei, Ruichun Tang, Peng Tang, Ge Yu:
Locally differentially private frequency distribution estimation with relative error optimization. Frontiers Comput. Sci. 18(5): 185613 (2024) - [j194]Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. Proc. VLDB Endow. 17(6): 1241-1254 (2024) - [j193]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. Proc. VLDB Endow. 17(8): 1995-2008 (2024) - [j192]Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S. Jensen, Ge Yu:
DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training. Proc. VLDB Endow. 17(11): 3388-3401 (2024) - [j191]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. IEEE Trans. Knowl. Data Eng. 36(9): 4515-4530 (2024) - [j190]Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu:
CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy Mix. IEEE Trans. Parallel Distributed Syst. 35(4): 531-547 (2024) - [j189]Feng Yao, Qian Tao, Shengyuan Lin, Yanfeng Zhang, Wenyuan Yu, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
Towards Efficient Graph Processing in Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 35(11): 2147-2160 (2024) - [j188]Shufeng Gong, Chao Tian, Qiang Yin, Zhengdong Wang, Song Yu, Yanfeng Zhang, Wenyuan Yu, Liang Geng, Chong Fu, Ge Yu, Jingren Zhou:
Ingress: an automated incremental graph processing system. VLDB J. 33(3): 781-806 (2024) - [c333]Bohan Zhang, Mo Chen, Jing Chen, Minghe Yu, Zhenghao Liu, Bin Xu, Ge Yu:
MMPDRec: A Denoising Model for Knowledge Concepts Recommendation Using Metapaths. WISA 2024: 65-77 - [c332]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. ACL (Findings) 2024: 2081-2107 - [c331]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. ACL (1) 2024: 14608-14624 - [c330]Yi Liu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
UFI4ER: An Utterance-Level Feature Dynamic Interaction Model for Cognition-Enhanced Empathetic Response Generation. APWeb/WAIM (1) 2024: 216-232 - [c329]Wenzhou Dou, Derong Shen, Xiangmin Zhou, Hui Bai, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu:
Enhancing Deep Entity Resolution with Integrated Blocker-Matcher Training: Balancing Consensus and Discrepancy. CIKM 2024: 508-518 - [c328]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. ICDE 2024: 2449-2462 - [c327]Jianpeng Wei, Yu Gu, Tianyi Li, Jianzhong Qi, Chuanwen Li, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
LTPG: Large-Batch Transaction Processing on GPUs with Deterministic Concurrency Control. ICDE 2024: 3865-3877 - [c326]Na Guo, Yaqi Wang, Wenli Sun, Yu Gu, Jianzhong Qi, Zhenghao Liu, Xiufeng Xia, Ge Yu:
Chameleon: Towards Update-Efficient Learned Indexing for Locally Skewed Data. ICDE 2024: 4316-4328 - [c325]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. WWW (Companion Volume) 2024: 83-92 - [i37]Zhigang Wang, Xu Zhang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
Accelerating Heterogeneous Tensor Parallelism via Flexible Workload Control. CoRR abs/2401.11469 (2024) - [i36]Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
LR-CNN: Lightweight Row-centric Convolutional Neural Network Training for Memory Reduction. CoRR abs/2401.11471 (2024) - [i35]Zhipeng Xu, Zhenghao Liu, Yibin Liu, Chenyan Xiong, Yukun Yan, Shuo Wang, Shi Yu, Zhiyuan Liu, Ge Yu:
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning. CoRR abs/2402.13547 (2024) - [i34]Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Chenyan Xiong, Ge Yu:
Cleaner Pretraining Corpus Curation with Neural Web Scraping. CoRR abs/2402.14652 (2024) - [i33]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yukun Yan, Shuo Wang, Ge Yu:
Say More with Less: Understanding Prompt Learning Behaviors through Gist Compression. CoRR abs/2402.16058 (2024) - [i32]Yuqing Lan, Zhenghao Liu, Yu Gu, Xiaoyuan Yi, Xiaohua Li, Liner Yang, Ge Yu:
Multi-Evidence based Fact Verification via A Confidential Graph Neural Network. CoRR abs/2405.10481 (2024) - [i31]Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
Fast Iterative Graph Computing with Updated Neighbor States. CoRR abs/2407.14544 (2024) - [i30]Yiqun Zhang, Xiaocui Yang, Xingle Xu, Zeran Gao, Yijie Huang, Shiyi Mu, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song, Ge Yu:
Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective. CoRR abs/2408.04638 (2024) - [i29]Weiqing Yang, Hanbin Wang, Zhenghao Liu, Xinze Li, Yukun Yan, Shuo Wang, Yu Gu, Minghe Yu, Zhiyuan Liu, Ge Yu:
Enhancing the Code Debugging Ability of LLMs via Communicative Agent Based Data Refinement. CoRR abs/2408.05006 (2024) - [i28]Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen:
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. CoRR abs/2409.12816 (2024) - [i27]Xinze Li, Sen Mei, Zhenghao Liu, Yukun Yan, Shuo Wang, Shi Yu, Zheni Zeng, Hao Chen, Ge Yu, Zhiyuan Liu, Maosong Sun, Chenyan Xiong:
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards. CoRR abs/2410.13509 (2024) - [i26]Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu:
Building A Coding Assistant via the Retrieval-Augmented Language Model. CoRR abs/2410.16229 (2024) - 2023
- [j187]Hanyu Mao, Tiezheng Nie, Hao Sun, Derong Shen, Ge Yu:
A Survey on Cross-Chain Technology: Challenges, Development, and Prospect. IEEE Access 11: 45527-45546 (2023) - [j186]Zhigang Wang, Ning Wang, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
A lock-free approach to parallelizing personalized PageRank computations on GPU. Frontiers Comput. Sci. 17(1): 171602 (2023) - [j185]Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Ge Yu, Tao Li:
New development of cognitive diagnosis models. Frontiers Comput. Sci. 17(1): 171604 (2023) - [j184]Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu:
A sampling method based on forecasting and combinatorial optimization for high performance A/B testing. Frontiers Comput. Sci. 17(6): 176616 (2023) - [j183]Zhuojin Liu, Shufeng Gong, Yuxuan Su, Changyi Wan, Yanfeng Zhang, Ge Yu:
Improving Density Peaks Clustering through GPU acceleration. Future Gener. Comput. Syst. 141: 399-413 (2023) - [j182]Jie Song, Pengyi Zhang, Qiang Qu, Yongjie Bai, Yu Gu, Ge Yu:
Why blockchain needs graph: A survey on studies, scenarios, and solutions. J. Parallel Distributed Comput. 180: 104730 (2023) - [j181]Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
Variational autoencoder densified graph attention for fusing synonymous entities: Model and protocol. Knowl. Based Syst. 259: 110061 (2023) - [j180]Weixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Qiang Li, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang Li, Ge Yu:
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database. Proc. ACM Manag. Data 1(1): 62:1-62:27 (2023) - [j179]Zhen Song, Yu Gu, Tianyi Li, Qing Sun, Yanfeng Zhang, Christian S. Jensen, Ge Yu:
ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling. Proc. ACM Manag. Data 1(4): 229:1-229:26 (2023) - [j178]Feng Yao, Qian Tao, Wenyuan Yu, Yanfeng Zhang, Shufeng Gong, Qiange Wang, Ge Yu, Jingren Zhou:
RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing. Proc. VLDB Endow. 17(3): 264-277 (2023) - [j177]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. Proc. VLDB Endow. 17(3): 455-468 (2023) - [j176]Yougui Ren, Xiaomei Yang, Zhihua Wang, Ge Yu, Yueming Liu, Xiaoliang Liu, Dan Meng, Qingyang Zhang, Guo Yu:
Segment Anything Model (SAM) Assisted Remote Sensing Supervision for Mariculture - Using Liaoning Province, China as an Example. Remote. Sens. 15(24): 5781 (2023) - [j175]Yijia Zhang, Tiancheng Zhang, Peng Xie, Minghe Yu, Ge Yu:
BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem. Symmetry 15(4): 916 (2023) - [j174]Jie Song, Xingchen Zhao, Chaopeng Guo, Yu Gu, Ge Yu:
Towards an Energy Complexity Model for Distributed Data Processing Algorithms. IEEE Trans. Big Data 9(6): 1510-1524 (2023) - [j173]Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu:
Efficient Subhypergraph Matching Based on Hyperedge Features. IEEE Trans. Knowl. Data Eng. 35(6): 5808-5822 (2023) - [j172]Qian Li, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
OERL: Enhanced Representation Learning via Open Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(9): 8880-8892 (2023) - [j171]Zhigang Wang, Yilei Tu, Ning Wang, Lixin Gao, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
FSP: Towards Flexible Synchronous Parallel Frameworks for Distributed Machine Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 687-703 (2023) - [j170]Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu:
Graph neural network for recommendation in complex and quaternion spaces. World Wide Web (WWW) 26(6): 3945-3964 (2023) - [c324]Wenzhou Dou, Derong Shen, Xiangmin Zhou, Tiezheng Nie, Yue Kou, Hang Cui, Ge Yu:
Soft Target-Enhanced Matching Framework for Deep Entity Matching. AAAI 2023: 4259-4266 - [c323]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. ACL (Findings) 2023: 11560-11574 - [c322]Shufeng Gong, Song Yu, Yanfeng Zhang, Ge Yu:
Accelerating Incremental Graph Processing by Layering Graph. ACM TUR-C 2023: 160-161 - [c321]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CIKM 2023: 1534-1544 - [c320]Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu:
MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation. DASFAA (2) 2023: 547-562 - [c319]Zhigang Wang, Zichao Yang, Ning Wang, Yujie Du, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu:
Lightweight Streaming Graph Partitioning by Fully Utilizing Knowledge from Local View. ICDCS 2023: 614-625 - [c318]Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. ICDE 2023: 558-571 - [c317]Ning Wang, Yaohua Wang, Zhigang Wang, Jie Nie, Zhiqiang Wei, Peng Tang, Yu Gu, Ge Yu:
PrivNUD: Effective Range Query Processing under Local Differential Privacy. ICDE 2023: 2660-2672 - [c316]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. ICDE 2023: 2766-2779 - [c315]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE 2023: 3883-3884 - [c314]Zhenghao Liu, Chenyan Xiong, Yuanhuiyi Lv, Zhiyuan Liu, Ge Yu:
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval. ICLR 2023 - [c313]Sisi Zhang, Lun Du, Fan Li, Ge Yu, Mengyuan Chen:
Propagate Deeper and Adaptive Graph Convolutional Networks. Tiny Papers @ ICLR 2023 - [c312]Xinlei Wang, Jinyi Chen, Bing Tian Dai, Junchang Xin, Yu Gu, Ge Yu:
Effective Graph Kernels for Evolving Functional Brain Networks. WSDM 2023: 150-158 - [i25]Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu:
A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability. CoRR abs/2302.08673 (2023) - [i24]Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu:
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network. CoRR abs/2303.06213 (2023) - [i23]Song Yu, Shufeng Gong, Yanfeng Zhang, Wenyuan Yu, Qiang Yin, Chao Tian, Qian Tao, Yongze Yan, Ge Yu, Jingren Zhou:
Layph: Making Change Propagation Constraint in Incremental Graph Processing by Layering Graph. CoRR abs/2304.07458 (2023) - [i22]Weixing Zhou, Qi Peng, Zijie Zhang, Yanfeng Zhang, Yang Ren, Sihao Li, Guo Fu, Yulong Cui, Qiang Li, Caiyi Wu, Shangjun Han, Shengyi Wang, Guoliang Li, Ge Yu:
GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database. CoRR abs/2304.09692 (2023) - [i21]Xinze Li, Zhenghao Liu, Chenyan Xiong, Shi Yu, Yu Gu, Zhiyuan Liu, Ge Yu:
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data. CoRR abs/2305.19912 (2023) - [i20]Zhenghao Liu, Sen Mei, Chenyan Xiong, Xiaohua Li, Shi Yu, Zhiyuan Liu, Yu Gu, Ge Yu:
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases. CoRR abs/2308.14029 (2023) - [i19]Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu:
Unlock Multi-Modal Capability of Dense Retrieval via Visual Module Plugin. CoRR abs/2310.14037 (2023) - [i18]Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu:
Modeling User Viewing Flow using Large Language Models for Article Recommendation. CoRR abs/2311.07619 (2023) - [i17]Yanfeng Zhang, Weixing Zhou, Yang Ren, Sihao Li, Guoliang Li, Ge Yu:
Towards Transaction as a Service. CoRR abs/2311.07874 (2023) - [i16]Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu:
INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing. CoRR abs/2311.09868 (2023) - [i15]Xin Ai, Qiange Wang, Chunyu Cao, Yanfeng Zhang, Chaoyi Chen, Hao Yuan, Yu Gu, Ge Yu:
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments. CoRR abs/2311.13225 (2023) - [i14]Hao Yuan, Yajiong Liu, Yanfeng Zhang, Xin Ai, Qiange Wang, Chaoyi Chen, Yu Gu, Ge Yu:
Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective. CoRR abs/2311.13279 (2023) - [i13]Chaoyi Chen, Dechao Gao, Yanfeng Zhang, Qiange Wang, Zhenbo Fu, Xuecang Zhang, Junhua Zhu, Yu Gu, Ge Yu:
NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams. CoRR abs/2312.02473 (2023) - 2022
- [j169]Jiwen Ding, Zhuojin Liu, Yanfeng Zhang, Shufeng Gong, Ge Yu:
LayerLSH: Rebuilding Locality-Sensitive Hashing Indices by Exploring Density of Hash Values. IEEE Access 10: 69851-69865 (2022) - [j168]Shumin Han, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
An enhanced privacy-preserving record linkage approach for multiple databases. Clust. Comput. 25(5): 3641-3652 (2022) - [j167]Jie Song, Pengyi Zhang, Mohammed Alkubati, Yubin Bao, Ge Yu:
Research advances on blockchain-as-a-service: architectures, applications and challenges. Digit. Commun. Networks 8(4): 466-475 (2022) - [j166]Yu Hu, Derong Shen, Tiezheng Nie, Yue Kou, Ge Yu:
Biomedical entity linking based on less labeled data. Frontiers Comput. Sci. 16(3): 163343 (2022) - [j165]Zhen Song, Yu Gu, Zhigang Wang, Ge Yu:
DRPS: efficient disk-resident parameter servers for distributed machine learning. Frontiers Comput. Sci. 16(4): 164321 (2022) - [j164]Ning Wang, Wei Zheng, Zhigang Wang, Zhiqiang Wei, Yu Gu, Peng Tang, Ge Yu:
Collecting and analyzing key-value data under shuffled differential privacy. Frontiers Comput. Sci. 17(2): 172606 (2022) - [j163]Jie Song, Peimeng Zhu, Yanfeng Zhang, Ge Yu:
Versatility or validity: A comprehensive review on simulation of Datacenters powered by Renewable Energy mix. Future Gener. Comput. Syst. 136: 326-341 (2022) - [j162]Guoliang Li, Ge Yu, Jun Yang, Ju Fan:
Preface to Special Issue on New Technologies of Database Systems. Int. J. Softw. Informatics 12(1): 1-5 (2022) - [j161]Xue He, Tiancheng Zhang, Minghe Yu, Ge Yu, Yuhai Zhao:
An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. Int. J. Softw. Informatics 12(4): 501-515 (2022) - [j160]Yue Kou, Dong Li, Derong Shen, Tiezheng Nie, Ge Yu:
Incremental User Identification Across Social Networks Based on User-Guider Similarity Index. J. Comput. Sci. Technol. 37(5): 1086-1104 (2022) - [j159]Yun Zhang, Minghe Yu, Tiancheng Zhang, Ge Yu:
Semantic enhanced Top-k similarity search on weighted HIN. Neural Comput. Appl. 34(19): 16911-16927 (2022) - [j158]Zeshun Peng, Yanfeng Zhang, Qian Xu, Haixu Liu, Yuxiao Gao, Xiaohua Li, Ge Yu:
NeuChain: A Fast Permissioned Blockchain System with Deterministic Ordering. Proc. VLDB Endow. 15(11): 2585-2598 (2022) - [j157]Jinfeng Peng, Derong Shen, Nan Tang, Tieying Liu, Yue Kou, Tiezheng Nie, Hang Cui, Ge Yu:
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks. Proc. VLDB Endow. 16(3): 433-446 (2022) - [j156]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34(3): 1053-1065 (2022) - [j155]Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang:
Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. 34(7): 3182-3195 (2022) - [j154]Jie Song, Shengqiang Hu, Yubin Bao, Ge Yu:
Compress Blocks or Not: Tradeoffs for Energy Consumption of a Big Data Processing System. IEEE Trans. Sustain. Comput. 7(1): 112-124 (2022) - [j153]Jing Chen, Qiange Wang, Yu Gu, Chuanwen Li, Ge Yu:
Unified-memory-based hybrid processing for partition-oriented subgraph matching on GPU. World Wide Web 25(3): 1377-1402 (2022) - [c311]Jingwen Bai, Tiezheng Nie, Derong Shen, Yue Kou, Ge Yu:
Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs. WISA 2022: 64-76 - [c310]Yuhang Su, Yu Gu, Yang Song, Ge Yu:
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. APWeb/WAIM (2) 2022: 3-11 - [c309]Lisha Wu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
KEP-Rec: A Knowledge Enhanced User-Item Relation Prediction Model for Personalized Recommendation. APWeb/WAIM (2) 2022: 239-254 - [c308]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu:
Parallel Skyline Processing Using Space Pruning on GPU. CIKM 2022: 1074-1083 - [c307]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM 2022: 4234-4238 - [c306]Meihui Shi, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu:
Multi-task Generative Adversarial Network for Missing Mobility Data Imputation. CIKM 2022: 4480-4484 - [c305]Shaopeng Yang, Tiancheng Zhang, Siyuan Mao, Ge Yu, Yiming Sun:
MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism. CSSE 2022: 70-74 - [c304]Wenzhou Dou, Derong Shen, Tiezheng Nie, Yue Kou, Chenchen Sun, Hang Cui, Ge Yu:
Empowering Transformer with Hybrid Matching Knowledge for Entity Matching. DASFAA (3) 2022: 52-67 - [c303]Longcan Wu, Daling Wang, Shi Feng, Kaisong Song, Yifei Zhang, Ge Yu:
Collaborative Filtering for Recommendation in Geometric Algebra. DASFAA (2) 2022: 256-263 - [c302]Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu:
CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning. DASFAA (1) 2022: 731-738 - [c301]Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu:
IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance. DASFAA (1) 2022: 739-746 - [c300]Zhen Song, Yu Gu, Jianzhong Qi, Zhigang Wang, Ge Yu:
EC-Graph: A Distributed Graph Neural Network System with Error-Compensated Compression. ICDE 2022: 648-660 - [c299]Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu:
P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning. SIGIR 2022: 1956-1962 - [c298]